Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Li, Jia-Dong"'
Publikováno v:
Complex & Intelligent Systems. 9:1963-1974
Can a computer evaluate an athlete’s performance automatically? Many action quality assessment (AQA) methods have been proposed in recent years. Limited by the randomness of video sampling and the simple strategy of model training, the performance
Publikováno v:
IEEE Transactions on Artificial Intelligence. 3:254-264
In this paper, a new vision- and grating-sensor-based intelligent unmanned settlement (IUS) system is proposed for convenience stores to automatically recognize the shopping behavior of customers, record their identities, and generate invoices. First
Label-reconstruction-based pseudo-subscore learning for action quality assessment in sporting events
Publikováno v:
Applied intelligence (Dordrecht, Netherlands).
Most existing action quality assessment (AQA) methods provide only an overall quality score for the input video and lack an evaluation of each substage of the movement process; thus, these methods cannot provide detailed feedback for users. Moreover,
Publikováno v:
The Journal of Engineering (2020)
Most existing methods of motion assessment system used the contact sensor, infrared sensor, and depth sensor, and few works provided the solution of digital camera. To solve this problem, the authors propose a new motion assessment system based on li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be79588c92c7023105d99a040f4d0a2b
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1316
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1316
Publikováno v:
Knowledge-Based Systems. 229:107388
Many of the existing methods for action quality assessment implement single-stage score regression networks that lack pertinence and rationality for the evaluation task. In this work, our target is to find a reasonable action quality assessment metho